Datadog software delivery observability-
build, test, and release signals unified in four weeks.
Engineering leaders often have no objective picture of delivery health, how long pipelines actually take, which tests are flaky and slowing builds, where time is being lost between commit and production. This accelerator connects CI/CD pipelines to Datadog, producing a unified view of delivery performance that engineering managers can act on without waiting for quarterly retrospectives.
CI Visibility integrated with your pipelines, delivery dashboards built, flaky tests and pipeline bottlenecks identified. Engineering delivery data visible in Datadog by the end of week four.
From CI/CD as a black box to delivery observability
The four weeks integrate your pipelines with Datadog, surface delivery data, and identify the specific bottlenecks worth addressing first.
- CI Visibility integration, your CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, CircleCI, or similar) connected to Datadog so run data flows automatically
- Test visibility configuration, test results from your test suites captured in Datadog, flaky test detection enabled, test performance history tracked across branches and commits
- Pipeline stage analysis, build stages mapped and timed, identifying which stages are consuming the most time and which have the highest failure rates
- Delivery dashboards, engineering manager and team-lead views showing pipeline health, test pass rates, deployment frequency, and lead time trends
- Delivery health monitors, alerts configured for pipeline failures, test regression, and significant degradation in key delivery metrics
- Hotspot identification, documented analysis of the flaky tests, slow build stages, and bottlenecks identified during the four weeks, prioritised by impact on delivery speed
Four deliverables at the end of week four
Delivery dashboards, pipeline health, test pass rates, deployment frequency, and lead time views for engineering managers and team leads
Delivery health monitors, alerts for pipeline failures, test regression, and significant changes in key delivery metrics; routing configured to appropriate teams
Hotspot identification, the specific flaky tests, slow stages, and bottlenecks that are costing the most delivery time, with effort-impact analysis
Next-step recommendation, Critical Cloud's recommended prioritisation for acting on the hotspots identified, including whether a broader Catalyst engagement would be warranted
The right accelerator for these situations
- Engineering leaders have no objective data on delivery performance, pipeline duration, test pass rates, and deployment frequency are guesses or manually-tracked spreadsheets
- CI pipeline times are growing but nobody knows which stages are responsible, developers are waiting on builds without visibility into where the time is going
- Datadog CI Visibility is licenced as part of a broader Datadog contract but hasn't been configured, the team wants the data visible without a long internal project
- An engineering efficiency initiative needs objective baseline data before any changes are made, this accelerator provides that baseline
Ready to get delivery observability operational?
Four weeks, fixed scope, delivery dashboards and hotspot analysis on delivery. Talk to Critical Cloud and we'll scope the accelerator against your CI/CD stack.